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7 дней назад

Senior Applied Scientist (AI)

160 900 - 257 100$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Applied Scientist (AI): Building LLM post-training pipelines, reward models, and online evaluation systems for agentic AI powering large-scale home-shopping experiences with an accent on reinforcement fine-tuning, preference learning, and production-grade GPU training. Focus on designing generalizable reward functions, assessing live agent trajectories, and translating state-of-the-art research into reliable production impact.

Location: Remote within the United States; employees may live in any of the 50 states, with limited exceptions.

Salary: $160,900–$257,100 annually in specified states, or $152,900–$244,300 annually in another specified group of states. Equity awards are also available.

Company

hirify.global is a large U.S. real estate platform building technology for buying, selling, financing, and renting homes.

What you will do

  • Own end-to-end LLM post-training pipelines, including SFT, DPO, and RFT/GRPO, on GPU infrastructure.
  • Build and train multi-category preference-based reward models that produce scalar signals.
  • Design on-policy and online evaluation for live agent trajectories using LLM-as-a-Judge frameworks.
  • Convert offline evaluation rubrics into generalizable reward functions for production traces.
  • Drive ambiguous technical initiatives across product, engineering, science, platform, and data teams.
  • Provide technical leadership and mentorship while bringing advanced AI research into production.

Requirements

  • Master’s degree or higher in Computer Science or a related field.
  • Hands-on experience with LLM post-training and reinforcement learning fine-tuning, including SFT, DPO, and RFT/GRPO.
  • Experience running end-to-end training runs on GPU infrastructure.
  • Strong knowledge of generative AI, foundation models, transformers, reinforcement learning, and preference learning.
  • Strong programming skills in Python and experience with PyTorch or TensorFlow.
  • Ability to independently solve ambiguous problems and provide technical leadership to scientists and machine learning engineers.

Nice to have

  • PhD in Computer Science, Machine Learning, or a related field.
  • Experience evaluating agentic AI through multi-turn trace analysis, LLM-as-a-Judge, offline evaluations, and online monitoring.
  • Published research in post-training, RLHF/RLAIF, preference learning, or reward modeling.
  • Experience with GPU training platforms such as Databricks or Fireworks.

Culture & Benefits

  • Distributed work through Cloud HQ, with flexibility to work from a productive location within the permitted U.S. locations.
  • Work on agentic AI technologies supporting search, personalized guidance, offer strategy, and financing.
  • Opportunity to contribute to systems operating at hundreds of millions of requests per day.
  • Equity awards are available in addition to base salary.
  • Inclusive workplace committed to equal employment opportunity and employee growth.

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